Stepper motor open-loop control system modeling and control strategy optimization

• Autorzy: Zhang Deode , Wang Jingqi , Qian Lei , Yi Jun

Identyfikatory

DOI

10.24425/aee.2019.125980

• Języki publikacji: EN

Abstrakty

EN

The study of the subdivision driving technology of a stepper motor and two types of typical acceleration and deceleration curves aims at optimizing the open-loop control performance of the stepper motor. The simulation model of a two-phase hybrid stepper motor open-loop control system is set up based on the mathematical model of the stepper motor, in order to let the stepper motor have the smaller stepper angle, two types of typical acceleration and a deceleration curve algorithm are designed for the real- time online calculation based on the subdivision driving technology. It respectively carries out the simulation analysis for their control effects. The simulation results show that the parabolic acceleration and deceleration curves have a larger maximum in-step rotation angle and the faster dynamic response ability in the same control period, and at the same time, the position tracking error of an intermediate process is smaller.

Słowa kluczowe

EN

acceleration and deceleration control; open loop control; stepper motor; subdivision control; system modeling

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2019
• Tom: Vol. 68, nr 1
• Strony: 63--75
• Opis fizyczny: Bibliogr. 15 poz., rys., tab., wz.

Twórcy

autor

Zhang Deode

• School of Mechanical Engineering, Hubei University of Technology, China

autor

Wang Jingqi

• School of Mechanical Engineering, Hubei University of Technology, China

autor

Qian Lei

• School of Mechanical Engineering, Hubei University of Technology, China

autor

Yi Jun

• School of Mechanical Engineering, Hubei University of Technology, China

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).